This project is driven by two interesting questions: 1) under what pricing policies of the cloud providers, a CSB is willing to achieve the objective when trying to maximizing its profit, and 2) how should a CSB distribute user’s demands to multiple cloud providers to minimize the energy cost of cloud providers’ and also satisfy all user’s demands? It also proposes a decompositionbased algorithm to implement the approximation algorithm. To answer the first question, it found a pricing policy from cloud providers to the CSBs, such that maximizing a CSB’s profit is equivalent to minimizing the energy cost of cloud providers. To answer the second question, it formulated a demand allocation problem, namely MCD, and proves its NPhardness. Then devised a greedy algorithm and further proposed an approximation algorithm using LPrelaxation, which proves to have a constant performance guarantee.
 Description

This project is driven by two interesting questions: 1) under what pricing policies of the cloud providers, a CSB is willing to achieve the objective when trying to maximizing its profit, and 2) how should a CSB distribute user’s demands to multiple cloud providers to minimize the energy cost of cloud providers’ and also satisfy all user’s demands? It also proposes a decompositionbased algorithm to implement the approximation algorithm. To answer the first question, it found a pricing policy from cloud providers to the CSBs, such that maximizing a CSB’s profit is equivalent to minimizing the energy cost of cloud providers. To answer the second question, it formulated a demand allocation problem, namely MCD, and proves its NPhardness. Then devised a greedy algorithm and further proposed an approximation algorithm using LPrelaxation, which proves to have a constant performance guarantee.
To minimize the total energy cost of clouds for green computing when it strives to maximize its profit.
 Aim & Objectives

To minimize the total energy cost of clouds for green computing when it strives to maximize its profit.
The CPU and memory utilization is considered as multiobjectives for further improvements in resource utilization.
 Contribution

The CPU and memory utilization is considered as multiobjectives for further improvements in resource utilization.
M.E / M.Tech/ MS / Ph.D. Customized according to the client requirements.
 Project Recommended For

M.E / M.Tech/ MS / Ph.D. Customized according to the client requirements.
No Readymade Projectsproject delivery Depending on the complexity of the project and requirements.
 Order To Delivery

No Readymade Projectsproject delivery Depending on the complexity of the project and requirements.
Professional Ethics: We SLogix would appreciate the students those who willingly contribute with atleast a line of thinking of their own while preparing the project with us. It is advised that the project given by us be considered only as a model project and be applied with confidence to contribute your own ideas through our expert guidance and enrich your knowledge.